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Article

SCGAN: Sparse CounterGAN for Counterfactual Explanations in Breast Cancer Prediction

2023-04-24

Abstract excerpt

Imaging phenotypes extracted via radiomics of magnetic resonance imaging have shown great potential in predicting the treatment response in breast cancer patients after administering neoadjuvant systemic therapy (NST). Understanding the causal relationships between the treatment response and Imaging phenotypes, Clinical information, and Molecular (ICM) features are critical in guiding treatment strategies and mana...

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Literature Corpus work
bb8b7eb9-e7a5-5d8a-88b1-95e128f118e7
DOI
10.1101/2023.04.16.23288633
Open publication

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SCGAN: Sparse CounterGAN for Counterfactual Explanations in Breast Cancer PredictionDOI 10.1101/2023.04.16.23288633
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